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Dysarthria Detection and Severity Assessment Using Rhythm-Based Metrics.

, , , and . INTERSPEECH, page 2897-2901. ISCA, (2020)

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Active contour segmentation using level set function with enhanced image from prior intensity., , , and . EMBC, page 3069-3072. IEEE, (2015)Automatic pronunciation assessment of Korean spoken by L2 learners using best feature set selection., , , and . APSIPA, page 1-6. IEEE, (2016)Improving transcription agreement of non-native English speech corpus transcribed by non-natives., , , and . SLaTE, page 61-64. ISCA, (2011)How to select a good voice for TTS.. SSW, page 88-92. ISCA, (2016)Effects of allophones on the performance of Korean speech recognition., , and . INTERSPEECH, page 2410-2413. ISCA, (2008)Multiple-Region Segmentation Without Supervision by Adaptive Global Maximum Clustering., and . IEEE Trans. Image Processing, 21 (4): 1600-1612 (2012)Automatic segmentation of leg bones by using active contours., , , and . EMBC, page 4695-4698. IEEE, (2014)Automatic Severity Classification of Dysarthric Speech by Using Self-Supervised Model with Multi-Task Learning., , , and . ICASSP, page 1-5. IEEE, (2023)Caractérisation des plosives finales dans des langues d'Asie : une étude multilingue du non relâchement (Characterization of Stop Consonants in Asian Languages: A two-language Study of Unreleased)., , , , and . JEP-TALN-RECITAL (1), page 597-605. ATALA et AFCP, (2020)Constructing Korean Learners' L2 Speech Corpus of Seven Languages for Automatic Pronunciation Assessment., , and . LREC/COLING, page 3772-3781. ELRA and ICCL, (2024)